Pulmonary Arterial Pressure Estimates from 4D Flow MRI in 32 Patients

A prospective study of 32 patients (22 men, 10 women, mean age 62.6 years) with known or suspected pulmonary hypertension. The dataset contains results from multivariate linear regression models comparing non-invasive 4D flow MRI parameters with invasive right heart catheterization measurements for estimating pulmonary arterial pressure. The data was authored by Charlotte Dantoing and last updated on 2026-04-23.

Use Cases

• Training regression models to estimate mean pulmonary arterial pressure (mPAP) based on 4D flow MRI parameters like mean helicity in the right ventricle and maximum cross-sectional pulmonary artery area.
• Developing predictive models for systolic pulmonary arterial pressure (sPAP) using features including mean vorticity in the right atrium.
• Validating non-invasive cardiac MRI techniques against the clinical gold standard of right heart catheterization.
• Benchmarking machine learning approaches for hemodynamic parameter estimation in pulmonary hypertension research.

Strengths

• Includes specific regression equations with reported R² values of 0.69 and 0.80.
• Data is based on a prospective clinical study with 32 patient records and a defined validation subset of 10 subjects.
• Provides Bland-Altman bias metrics (0.42 and 0.38 mmHg) for model validation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Clinical measurements from right heart catheterization and accelerated kat 4D flow MRI sequence.

Time Range

Study period not specified; dataset last updated in 2026.

Freshness

Last updated 2026-04-23 17:23:47; freshness should be verified.

Geography

Patient population geography not specified.